Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building ML-powered features for Brand Templates, focusing on ranking, recommendation models, and brandification pipelines. Focus on layout extraction, understanding systems, and designing LLM-based pipelines for generating structured metadata.

Location: Remote within Australia

Company

hirify.global is redefining how the world experiences design.

What you will do

• Develop ranking and recommendation models for converting high-performing designs into Brand Templates.
• Build brandification pipelines to automatically transform marketplace templates to conform to an organization's brand guidelines.
• Build layout extraction and understanding systems to parse hirify.global's design format (CDF) and identify structural patterns.
• Design and productionize LLM-based pipelines for generating structured metadata across large volumes of brand templates.
• Run experiments to validate model effectiveness and measure impact on user outcomes.
• Collaborate with cross-functional partners to define data contracts, APIs, and integration patterns for ML features.

Requirements

• 5+ years of experience building and deploying ML-powered features in production environments.
• Proficient with Python and ML frameworks such as PyTorch or TensorFlow.
• Strong experience with NLP/NLU techniques, including working with LLMs, embeddings, semantic search, prompt engineering, RAG, or fine-tuning.
• Experience with document understanding, layout analysis, or structured data extraction from semi-structured formats.
• Experience building information retrieval, ranking, or recommendation systems.
• Comfortable operating independently as the ML technical lead within a product team, while collaborating deeply with engineers, PMs, and designers.

Nice to have

• Experience with layout understanding, document parsing, or structured extraction from design/document formats.
• Familiarity with embeddings and vector databases.
• Experience with enterprise or B2B product contexts where brand consistency and governance matter.
• Familiarity with GenAI platforms (e.g. OpenAI, Anthropic).
• Experience with microservices architectures and large monorepos.
• A Master's or PhD in a machine learning discipline.

Culture & Benefits

• Equity packages.
• Inclusive parental leave policy.
• An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more.
• Flexible leave options.

Hiring process

• All interviews are conducted virtually.